基于BAM网络和模糊理论的雷达脉冲信号流模糊联想分选

Classification of Radar Impulse Signals Based on BAM and Fuzzy Theory

雷达脉冲信号的分类在信号处理中的地位十分重要 ,在电子战中应用非常广泛。利用双向联想存储网络以及模糊理论 ,可以将不易理解的脉冲信号参数转变为与人类直觉相符合的性质信号 。

The classification of radar impulse signals is of great importance in signal processing and is widely used in the field of EW(Electronic Warfare) With the fusion of BAM (Bidirectional Associative Memory) and fuzzy theory ,we can easily change the obscurity parameters of impulse signal into characters that tally with the intuition of mankind and accordingly classify the intercepted signals